Journal of Pathology Informatics Journal of Pathology Informatics
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Year : 2021  |  Volume : 12  |  Issue : 1  |  Page : 7

Experience reviewing digital pap tests using a gallery of images

1 Department of Pathology, University of Michigan, Ann Arbor, MI, USA
2 Hologic Inc., Marlborough, MA, USA

Correspondence Address:
Dr. Liron Pantanowitz
Department of Pathology and Clinical Labs, NCRC Bldg 35, 2800 Plymouth Road, University of Michigan, Ann Arbor, MI
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Source of Support: None, Conflict of Interest: None

DOI: 10.4103/jpi.jpi_96_20

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Introduction: Hologic is developing a digital cytology platform. An educational website was launched for users to review these digitized Pap test cases. The aim of this study was to analyze data captured from this website. Materials and Methods: ThinPrep® Pap test slides were scanned at ×40 using a volumetric (14 focal plane) technique. Website cases consisted of an image gallery and whole slide image (WSI). Over a 13 month period data were recorded including diagnoses, time participants spent online, and number of clicks on the gallery and WSI. Results: 51,289 cases were reviewed by 918 reviewers. Cytotechnologists spent less time (M [Median] = 65.0 s) than pathologists (M = 82.2 s) reviewing cases (P < 0.001). Longer times were associated with incorrect diagnoses and cases with organisms. Cytotechnologists matched the reference diagnoses in 85% of cases compared to pathologists who matched in 79.8%. While in 62% of cases reviewers only examined the gallery, they attained the correct diagnosis 92.7% of the time. Pathologists made more clicks on the gallery and WSI than cytotechnologists (P < 0.001). Diagnostic accuracy decreased with increasing clicks. Conclusions: Website participation provided feedback about how cytologists interact with a digital platform when reviewing cases. These data suggest that digital Pap test review when comprised of an image gallery displaying diagnostically relevant objects is quick and easy to interpret. The high diagnostic concordance of digital Pap tests with reference diagnoses can be attributed to high image quality with volumetric scanning, image gallery format, and ability for users to freely navigate the entire digital slide.

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